Semantic Scholar Open Access 2023 4 sitasi

Research on intelligent and efficient analysis and mining technology of power big data based on multi-source data filtering analysis

Zhengxiong Mao Fu Bao Yuan Tian Hang Zhang

Abstrak

In view of the increasing data volume and the increasingly difficult data analysis in the power industry, an intelligent and efficient analysis and mining framework for power big data is designed to quickly obtain valuable information. Analyze the overall framework of the power big data center, mainly including the service layer, verification layer, data source layer, and feature analysis layer. In addition, through analyzing the process of data mining, it is found that the business needs to be strengthened And realize expansion. The framework design of power big data intelligent analysis and mining technology mainly includes power market demand, customer analysis, high-performance data analysis, service system, data security governance and other modules. Through the analysis of an example of intelligent power big data mining, the analysis results show that the intelligent power data mining has good analysis effect and high mining accuracy

Topik & Kata Kunci

Penulis (4)

Z

Zhengxiong Mao

F

Fu Bao

Y

Yuan Tian

H

Hang Zhang

Format Sitasi

Mao, Z., Bao, F., Tian, Y., Zhang, H. (2023). Research on intelligent and efficient analysis and mining technology of power big data based on multi-source data filtering analysis. https://doi.org/10.1117/12.2671519

Akses Cepat

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Informasi Jurnal
Tahun Terbit
2023
Bahasa
en
Total Sitasi
Sumber Database
Semantic Scholar
DOI
10.1117/12.2671519
Akses
Open Access ✓